Abstract
Assistance with the use of technical devices is required as soon as the tasks to be performed become complex. This assistance is also needed as soon as the authors provide assistance to users to find solutions to incidents that occur during the application of unsuitable procedures. The goal of this work is then to provide a knowledge extraction approach that can interpret user requests into valid system requests to respond appropriately to novice user requests. This approach is based on a fuzzy semantic network for the modeling of imprecise and uncertain knowledge and the automatic construction of temporary fuzzy ontology for the identification and interpretation of user requests. The proposed approach has the advantage of being able to integrate the notion of uncertain and imprecise knowledge into the representation of system objects and procedures. The experimental results show the efficiency and the effectiveness of the approach.
Highlights
The performance of today’s conventional help systems is satisfactory in the quality and quantity of information it contains
Using the construction of a fuzzy ontology, we identify the object and procedure targeted by the user via the semantic links between the system object / user object and the system procedures / user procedures pairs
This strategy represents the originality of our work compared to the few existing works
Summary
The performance of today’s conventional help systems is satisfactory in the quality and quantity of information it contains Their weak point is to identify and interpret the requests of the users expressed in natural language. The goal of this article is to propose a new model based on a Fuzzy Ontology which represents objects and goals of novice users to respond to their fuzzy requests. It is a question of finding through this ontology the objects and procedures of the system(expert) which are the possible equivalents of those of the users. We will conclude with general conclusions and future perspectives for this work
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